Senior Data Scientist driving advanced analytics and machine learning solutions to support business outcomes. Collaborating with teams and enhancing operational efficiency at McKesson with a data-driven approach.
Responsibilities
Drive the full lifecycle of advanced analytics and machine learning solutions
Identify opportunities for leveraging company data
Develop strategies that enhance operational efficiency
Apply advanced analytics to evaluate organizational performance
Develop custom machine learning models and algorithms
Collaborate with cross-functional teams to deploy, monitor, and maintain ML models
Ensure scalability, reliability, and compliance with enterprise standards
Requirements
Bachelor's in math, statistics, engineering, or another STEM field or equivalent experience
8+ years of relevant experience
7+ years of hands-on data science experience delivering models to production
4+ years leading projects or small teams as a tech lead
Experience in at least two or more relevant domain (pricing, contracting, demand forecasting, supply-chain optimization, commercial analytics, patient/customer experience)
Proficient in Python and SQL
Familiarity with LLMs/NLP and retrieval-augmented workflows preferred
Expert in Azure ML, MLflow, model registries, monitoring/telemetry, CI/CD
Working Student at Fraunhofer Institute focusing on Data Science and Natural Language Processing. Involved in AI - driven projects with a flexible work schedule.
Werkstudent*in in Data Science und Natural Language Processing bei Fraunhofer, tätig in KI - gestütztem Wissensmanagement und innovativer KI - Lösungsentwicklung.
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